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What is DeepSource?

DeepSource is an AI-powered platform designed to automate code reviews and help engineering teams build more secure and reliable software. It uses a hybrid analysis approach that combines deterministic static code analysis with advanced AI review agents to examine code changes. The platform integrates seamlessly with development environments such as GitHub, GitLab, Bitbucket, and Azure DevOps, enabling automatic analysis of pull requests. Each code change is scanned for bugs, security vulnerabilities, performance risks, complexity issues, and maintainability concerns. Developers receive inline comments and structured review summaries that explain problems and suggest improvements. The system includes Autofix capabilities that generate verified patches for many detected issues, allowing developers to resolve problems quickly. DeepSource also monitors dependency vulnerabilities using reachability and taint analysis to identify which open-source risks actually affect the codebase. Security tools detect exposed secrets, API keys, and credentials before they reach production environments. Infrastructure-as-code scanning helps identify configuration weaknesses in Terraform and CloudFormation files. Teams can track test coverage to ensure new code is properly tested before merging. Compliance reports map vulnerabilities to recognized security standards such as OWASP Top 10 and SANS Top 25. The platform also offers full codebase scanning to identify long-term quality and security issues across existing repositories. By combining automation, security intelligence, and actionable feedback, DeepSource enables organizations to scale development without sacrificing code quality.

What is Amazon CodeGuru?

Amazon CodeGuru is a cutting-edge tool designed for developers that employs machine learning to provide valuable recommendations for improving code quality while identifying the most expensive lines of code within an application. By integrating Amazon CodeGuru into your existing software development workflow, you can take advantage of automated code reviews that help highlight and enhance these costly segments of code, ultimately leading to lower overall expenses. In addition, Amazon CodeGuru Profiler aids developers by pinpointing the most resource-demanding lines of code, offering detailed visual representations and actionable advice for optimizing the code to save costs. Moreover, Amazon CodeGuru Reviewer uses machine learning techniques to uncover critical issues and subtle bugs during the application development process, thus improving the code's overall quality. This all-encompassing strategy not only simplifies the development process but also cultivates a more efficient and economically viable coding environment. By leveraging these tools, developers can significantly enhance both their productivity and the reliability of their applications.

Media

Media

Integrations Supported

Bitbucket
GitHub
Java
Python
.NET
Azure DevOps
Go
Google Cloud Platform
Google Cloud Source Repositories
JavaScript
PHP
Ruby
Rust
SQL
Terraform
Travis CI

Integrations Supported

Bitbucket
GitHub
Java
Python
AWS Fargate
AWS Lambda
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)

API Availability

API Availability

Has API

Pricing Information

$24/user/month
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

DeepSource

Date Founded

2018

Company Location

United States

Company Website

deepsource.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/codeguru/

Categories and Features

Categories and Features

AI Code Review

Not specified

Application Performance Monitoring (APM)

Baseline Manager
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance

Code Quality

Not specified

Machine Learning

Deep Learning
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization

Static Code Analysis

Not specified

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